Francesco Rinaldi

1.4k citations
63 papers · 872 indexed · h-index 17
Topics
Advanced Optimization Algorithms Research (35 papers)Sparse and Compressive Sensing Techniques (14 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsScientific Reports

In The Last Decade

Francesco Rinaldi

56 papers receiving 843 citations

Peers

Francesco Rinaldi
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 298
  • Numerical Analysis 276
  • Electrical and Electronic Engineering 254
  • Control and Systems Engineering 185
  • Artificial Intelligence 169
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Erling D. Andersen Denmark
Dmitri E. Kvasov Italy
Pham Dinh Tao France
Giampaolo Liuzzi Italy
Matthias Gerdts Germany
Masakazu Muramatsu Japan
Ion Necoara Romania
Alireza Nazemi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Francesco Rinaldi

Since Specialization
Citations

This map shows the geographic impact of Francesco Rinaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Rinaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Rinaldi more than expected).

Fields of papers citing papers by Francesco Rinaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Rinaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Rinaldi. The network helps show where Francesco Rinaldi may publish in the future.

Co-authorship network of co-authors of Francesco Rinaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Rinaldi. A scholar is included among the top collaborators of Francesco Rinaldi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Rinaldi. Francesco Rinaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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A Linesearch-based Derivative-free Approach for Nonsmooth Optimization
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Interaction between ticlopidine or warfarin or cardioaspirin with a highly standardized deterpened Ginkgo biloba extract (VR456) in rat and human.
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New concave penalty functions for improving the Feasibility Pump
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About Francesco Rinaldi

Francesco Rinaldi is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 63 papers that have together received 872 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (35 papers), Sparse and Compressive Sensing Techniques (14 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). The work is most often cited by research in Numerical Analysis (276 citations), Computational Theory and Mathematics (298 citations) and Control and Systems Engineering (185 citations). Francesco Rinaldi has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Stefano Lucidi, Giampaolo Liuzzi, F. Parasiliti, Marco Villani, Marco Sciandrone, Gianni Di Pillo, Fabio Schoen, Immanuel M. Bomze, Matteo Diez and Andrea Serani. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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